UnifiedFlow Portable IP and Model Memory
This is a queued continuation lab for the UnifiedFlow data-center platform. It exists so the overview lab can stay focused on the whole system while this subsystem gets its own evidence, figures, and update loop.
Research Question
What should UnifiedFlow preserve as portable intellectual property and model memory between runs?
Current Evidence
Current portable evidence includes model-training-adjacent artifacts, V12 profile and critic reports, calibration outputs, rejected/quarantined candidates, and review bundles.
Platform Use
This lab should define the versioning, claim tier, portability, and non-source-data boundaries for weights, profiles, calibration reports, and critic datasets.
Desired Outcome
UnifiedFlow learns from each run without moving raw data or confusing reusable model memory with biological truth.
Continuation Work
Inventory the portable artifact classes and define which can train models, which can tune profiles, and which require human review before reuse.
Starting Figure Obligation
This lab needs at least one subsystem figure promoted from evidence: a state machine, network, hierarchy, matrix, or time-series chart depending on the subsystem. The figure should make the operating decision inspectable, not merely decorate the page.
Claim Boundary
This page is a draft queue item. It should not be treated as a final scientific or operational claim until evidence links, figures, and review-state decisions are added.